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of previous outputs and professional development. C5 Proficiency in programming with Python, C++, and familiarity with AI frameworks. C6 Good understanding of WSI formats and tools (OpenSlide, QuPath
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technology policy, depending on the research focus Experience using common research and instructional tools, including: Programming and analysis tools (e.g., Python, MATLAB, GitHub/GitLab) Learning and
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courses in Python (e.g. DCS 109D), and other additional upper level applied computing and/or data science courses within the broader DCS curriculum based on their area(s) of expertise. Candidates should
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
complex analytical studies, interpreting results, and managing large datasets using statistical programming languages such as SAS, SQL, R, or Python. Experience with data visualization tools such as
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familiar with Python, PHP, JavaScript, and shell scripting and bring a high degree of expertise in one or more of those languages. In addition, the candidate will demonstrate problem-solving ability
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familiar with Python, PHP, JavaScript, and shell scripting and bring a high degree of expertise in one or more of those languages. In addition, the candidate will demonstrate problem-solving ability
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discovery through user research, prototyping, and experimentation to validate solutions that are feasible, usable, and valuable Write production-quality code in Python/Django and JavaScript/React/Vue while
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Assistant Director, Treasury Planning (Hybrid) - Financial Services - Treasury Planning & Operations
for this position. More About This Job Preferred Qualifications: Exceptional Excel skills: financial modeling and forecasting, complex formulas, scenario analysis, automation and data management using VBA and Python
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(e.g., in R, Python) Strong written and verbal communication skills in English *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience
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will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical